As part of the 2017 CRG Postdocs Retreat, Damjana Kastelic and Benedetta Bolognesi run an activity in which postdocs attending to the retreat were split into groups and were asked to write together skills/knowledge/attitude they have as well as those they would like to see on their CV. Here I put together the data from the 4 groups and present them as word clouds.
paths are relative to /users/GR/mb/jquilez
%pylab inline
# load python packages
import os
import os.path
import pandas as pd
import glob
from IPython.core.display import Image
from scipy import stats
from matplotlib_venn import *
import seaborn as sns
from wordcloud import WordCloud
# matplotlib options
plt.rcParams['font.size'] = 20
plt.rcParams['font.weight'] = 'medium'
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = 'Arial'
plt.rcParams['lines.linewidth'] = 2.0
plt.rcParams['legend.numpoints'] = 1
plt.rcParams['legend.frameon'] = False
plt.rcParams['savefig.bbox'] = 'tight'
# seaborn options
sns.set_context("talk", font_scale = 1.5)
sns.set_style("white")
Populating the interactive namespace from numpy and matplotlib
project = 'misc'
analysis = '2017-01-26_world_cloud_crg_postdoc_retreat'
PROJECT = '/Volumes/users-GR-mb-jquilez/projects/%s' % project
ANALYSIS = '%s/analysis/%s' % (PROJECT, analysis)
infile = '%s/figures/IMG_1526.jpg' % ANALYSIS
Image(filename = infile, width = 500)
infile = '%s/figures/IMG_1527.jpg' % ANALYSIS
Image(filename = infile, width = 500)
infile = '%s/figures/IMG_1528.jpg' % ANALYSIS
Image(filename = infile, width = 500)